Paper List

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Summary of Mambular: a Sequential Model For Tabular Deep Learning, by Anton Frederik Thielmann et al.
Summary of The Ai Scientist: Towards Fully Automated Open-ended Scientific Discovery, by Chris Lu et al.
Summary of Learn: An Invex Loss For Outlier Oblivious Robust Online Optimization, by Adarsh Barik et al.
Summary of Divide-and-conquer Predictive Coding: a Structured Bayesian Inference Algorithm, by Eli Sennesh et al.
Summary of Online Matrix Completion: a Collaborative Approach with Hott Items, by Dheeraj Baby and Soumyabrata Pal
Summary of An End-to-end Model For Time Series Classification in the Presence Of Missing Values, by Pengshuai Yao et al.
Summary of Root Cause Attribution Of Delivery Risks Via Causal Discovery with Reinforcement Learning, by Shi Bo et al.
Summary of On the Robustness Of Kernel Goodness-of-fit Tests, by Xing Liu et al.
Summary of Llm-based Robust Product Classification in Commerce and Compliance, by Sina Gholamian et al.
Summary of Leveraging Knowledge Graph-based Human-like Memory Systems to Solve Partially Observable Markov Decision Processes, by Taewoon Kim et al.
Summary of Low-rank Approximation, Adaptation, and Other Tales, by Jun Lu
Summary of Gflownet Training by Policy Gradients, By Puhua Niu et al.
Summary of Urban Region Pre-training and Prompting: a Graph-based Approach, by Jiahui Jin et al.
Summary of Online-score-aided Federated Learning: Taming the Resource Constraints in Wireless Networks, by Md Ferdous Pervej and Minseok Choi and Andreas F. Molisch
Summary of Cluster-segregate-perturb (csp): a Model-agnostic Explainability Pipeline For Spatiotemporal Land Surface Forecasting Models, by Tushar Verma and Sudipan Saha
Summary of Bi-mdrg: Bridging Image History in Multimodal Dialogue Response Generation, by Hee Suk Yoon et al.
Summary of Convkgyarn: Spinning Configurable and Scalable Conversational Knowledge Graph Qa Datasets with Large Language Models, by Ronak Pradeep et al.
Summary of Target Detection Of Safety Protective Gear Using the Improved Yolov5, by Hao Liu and Xue Qin
Summary of Parameters Inference For Nonlinear Wave Equations with Markovian Switching, by Yi Zhang et al.
Summary of Transfer Learning Of State-based Potential Games For Process Optimization in Decentralized Manufacturing Systems, by Steve Yuwono et al.
Summary of Global-to-local Support Spectrums For Language Model Explainability, by Lucas Agussurja et al.
Summary of Layer-specific Optimization: Sensitivity Based Convolution Layers Basis Search, by Vasiliy Alekseev et al.
Summary of Graph Clustering with Cross-view Feature Propagation, by Zhixuan Duan et al.
Summary of Eigen Attention: Attention in Low-rank Space For Kv Cache Compression, by Utkarsh Saxena et al.
Summary of Srtfd: Scalable Real-time Fault Diagnosis Through Online Continual Learning, by Dandan Zhao et al.
Summary of The Bandit Whisperer: Communication Learning For Restless Bandits, by Yunfan Zhao et al.
Summary of A Novel Momentum-based Deep Learning Techniques For Medical Image Classification and Segmentation, by Koushik Biswas et al.
Summary of Smiles-mamba: Chemical Mamba Foundation Models For Drug Admet Prediction, by Bohao Xu et al.
Summary of Fast and Scalable Semi-supervised Learning For Multi-view Subspace Clustering, by Huaming Ling et al.
Summary of Predicting Chaotic System Behavior Using Machine Learning Techniques, by Huaiyuan Rao et al.
Summary of Deep Learning with Data Privacy Via Residual Perturbation, by Wenqi Tao et al.
Summary of Mtsci: a Conditional Diffusion Model For Multivariate Time Series Consistent Imputation, by Jianping Zhou et al.
Summary of Low-dimensional Federated Knowledge Graph Embedding Via Knowledge Distillation, by Xiaoxiong Zhang et al.
Summary of Efficient and Versatile Robust Fine-tuning Of Zero-shot Models, by Sungyeon Kim et al.
Summary of Scalable and Adaptive Spectral Embedding For Attributed Graph Clustering, by Yunhui Liu et al.
Summary of Pareto Front Shape-agnostic Pareto Set Learning in Multi-objective Optimization, by Rongguang Ye et al.
Summary of Curling the Dream: Contrastive Representations For World Modeling in Reinforcement Learning, by Victor Augusto Kich et al.
Summary of On Zero-shot Learning in Neural State Estimation Of Power Distribution Systems, by Aleksandr Berezin et al.
Summary of Continual Learning Of Nonlinear Independent Representations, by Boyang Sun et al.
Summary of A Comparative Study Of Convolutional and Recurrent Neural Networks For Storm Surge Prediction in Tampa Bay, by Mandana Farhang Ghahfarokhi et al.
Summary of A Single Goal Is All You Need: Skills and Exploration Emerge From Contrastive Rl Without Rewards, Demonstrations, or Subgoals, by Grace Liu et al.
Summary of On the Convergence Of a Federated Expectation-maximization Algorithm, by Zhixu Tao et al.
Summary of Sampling Foundational Transformer: a Theoretical Perspective, by Viet Anh Nguyen et al.
Summary of Ensemble Everything Everywhere: Multi-scale Aggregation For Adversarial Robustness, by Stanislav Fort et al.
Summary of Fuxi Weather: a Data-to-forecast Machine Learning System For Global Weather, by Xiuyu Sun and Xiaohui Zhong and Xiaoze Xu and Yuanqing Huang and Hao Li and J. David Neelin and Deliang Chen and Jie Feng and Wei Han and Libo Wu and Yuan Qi
Summary of Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens Of Expressivity, by Yam Eitan et al.
Summary of A Structural Feature-based Approach For Comprehensive Graph Classification, by Saiful Islam et al.
Summary of Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors For Bayesian Neural Networks, by Yoav Gelberg et al.
Summary of A Laplacian-based Quantum Graph Neural Network For Semi-supervised Learning, by Hamed Gholipour et al.
Summary of Cryobench: Diverse and Challenging Datasets For the Heterogeneity Problem in Cryo-em, by Minkyu Jeon et al.
Summary of Latent Class Analysis For Multi-layer Categorical Data, by Huan Qing
Summary of Convergence Analysis For Deep Sparse Coding Via Convolutional Neural Networks, by Jianfei Li and Han Feng and Ding-xuan Zhou
Summary of S-sirus: An Explainability Algorithm For Spatial Regression Random Forest, by Luca Patelli et al.
Summary of Evolutionary Neural Architecture Search For 3d Point Cloud Analysis, by Yisheng Yang et al.
Summary of Incremental Gauss-newton Descent For Machine Learning, by Mikalai Korbit and Mario Zanon
Summary of Dynamical Causality Under Invisible Confounders, by Jinling Yan et al.
Summary of Residual-inr: Communication Efficient On-device Learning Using Implicit Neural Representation, by Hanqiu Chen et al.
Summary of Meta Clustering Of Neural Bandits, by Yikun Ban et al.
Summary of Sequential Representation Learning Via Static-dynamic Conditional Disentanglement, by Mathieu Cyrille Simon et al.
Summary of Forecasting Day-ahead Electricity Prices in the Integrated Single Electricity Market: Addressing Volatility with Comparative Machine Learning Methods, by Ben Harkin et al.
Summary of Speculative Diffusion Decoding: Accelerating Language Generation Through Diffusion, by Jacob K Christopher et al.
Summary of Federated Smoothing Proximal Gradient For Quantile Regression with Non-convex Penalties, by Reza Mirzaeifard et al.
Summary of Controlling For Discrete Unmeasured Confounding in Nonlinear Causal Models, by Patrick Burauel and Frederick Eberhardt and Michel Besserve
Summary of Histokernel: Whole Slide Image Level Maximum Mean Discrepancy Kernels For Pan-cancer Predictive Modelling, by Piotr Keller et al.
Summary of Ecg-fm: An Open Electrocardiogram Foundation Model, by Kaden Mckeen et al.
Summary of Cell Morphology-guided Small Molecule Generation with Gflownets, by Stephen Zhewen Lu et al.
Summary of Biomimetic Machine Learning Approach For Prediction Of Mechanical Properties Of Additive Friction Stir Deposited Aluminum Alloys Based Walled Structures, by Akshansh Mishra
Summary of Socfedgpt: Federated Gpt-based Adaptive Content Filtering System Leveraging User Interactions in Social Networks, by Sai Puppala et al.
Summary of Flash: Federated Learning-based Llms For Advanced Query Processing in Social Networks Through Rag, by Sai Puppala et al.
Summary of Advancing Oncology with Federated Learning: Transcending Boundaries in Breast, Lung, and Prostate Cancer. a Systematic Review, by Anshu Ankolekar et al.
Summary of Improved Adaboost Algorithm For Web Advertisement Click Prediction Based on Long Short-term Memory Networks, by Qixuan Yu et al.
Summary of Can a Bayesian Oracle Prevent Harm From An Agent?, by Yoshua Bengio et al.
Summary of Semi-supervised One-shot Imitation Learning, by Philipp Wu and Kourosh Hakhamaneshi and Yuqing Du and Igor Mordatch and Aravind Rajeswaran and Pieter Abbeel
Summary of Rule4ml: An Open-source Tool For Resource Utilization and Latency Estimation For Ml Models on Fpga, by Mohammad Mehdi Rahimifar et al.
Summary of Hybrid Efficient Unsupervised Anomaly Detection For Early Pandemic Case Identification, by Ghazal Ghajari et al.
Summary of Enabling Quick, Accurate Crowdsourced Annotation For Elevation-aware Flood Extent Mapping, by Landon Dyken et al.
Summary of Eclipsenets: a Differentiable Description Of Irregular Eclipse Conditions, by Giacomo Acciarini et al.
Summary of Samsa: Efficient Transformer For Many Data Modalities, by Minh Lenhat et al.
Summary of Fastkqr: a Fast Algorithm For Kernel Quantile Regression, by Qian Tang et al.
Summary of Interface Laplace Learning: Learnable Interface Term Helps Semi-supervised Learning, by Tangjun Wang et al.
Summary of Modeling Multi-step Scientific Processes with Graph Transformer Networks, by Amanda A. Volk et al.
Summary of Generalized Encouragement-based Instrumental Variables For Counterfactual Regression, by Anpeng Wu et al.
Summary of Predicting Long-term Allograft Survival in Liver Transplant Recipients, by Xiang Gao et al.
Summary of On the Use Of Neurosymbolic Ai For Defending Against Cyber Attacks, by Gudmund Grov et al.
Summary of Lid-fl: Towards List-decodable Federated Learning, by Hong Liu et al.
Summary of A Conformalized Learning Of a Prediction Set with Applications to Medical Imaging Classification, by Roy Hirsch et al.
Summary of Graph Neural Networks As Ordering Heuristics For Parallel Graph Coloring, by Kenneth Langedal and Fredrik Manne
Summary of Variational Bayesian Phylogenetic Inference with Semi-implicit Branch Length Distributions, by Tianyu Xie et al.
Summary of Masked Adversarial Neural Network For Cell Type Deconvolution in Spatial Transcriptomics, by Lin Huang et al.
Summary of Gleams: Bridging the Gap Between Local and Global Explanations, by Giorgio Visani et al.
Summary of Generalizing Few Data to Unseen Domains Flexibly Based on Label Smoothing Integrated with Distributionally Robust Optimization, by Yangdi Wang et al.
Summary of Priphit: Privacy-preserving Hierarchical Training Of Deep Neural Networks, by Yamin Sepehri et al.
Summary of Bootstrap Latents Of Nodes and Neighbors For Graph Self-supervised Learning, by Yunhui Liu et al.
Summary of Hyperbolic Learning with Multimodal Large Language Models, by Paolo Mandica et al.
Summary of Application Of Unsupervised Artificial Neural Network (ann) Self_organizing Map (som) in Identifying Main Car Sales Factors, by Mazyar Taghavi
Summary of Semantic Successive Refinement: a Generative Ai-aided Semantic Communication Framework, by Kexin Zhang et al.
Summary of Cautious Calibration in Binary Classification, by Mari-liis Allikivi et al.
Summary of Range Membership Inference Attacks, by Jiashu Tao et al.
Summary of Cycle-configuration: a Novel Graph-theoretic Descriptor Set For Molecular Inference, by Bowen Song et al.
Summary of Gemma Scope: Open Sparse Autoencoders Everywhere All at Once on Gemma 2, by Tom Lieberum et al.